Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bioinformatics for rice resources.

B W Sobral1, H Mangalam, A Siepel

  • 1Virginia Bioinformatics Institute, Virginia Tech (0477), 1750 Kraft Drive, Suite 1400, Blacksburg, VA 24061, USA.

Novartis Foundation Symposium
|June 5, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimization of immunocytochemistry in cytology: comparison of two protocols for fixation and preservation on cytospin and smear preparations.

Cytopathology : official journal of the British Society for Clinical Cytology·2014
Same author

Zinc depletion regulates the processing and secretion of IL-1β.

Cell death & disease·2014
Same author

Parentage determination in maize hybrids using the arbitrarily primed polymerase chain reaction (AP-PCR).

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

High output genetic mapping of polyploids using PCR-generated markers.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Phylogenetic analysis of chloroplast restriction enzyme site mutations in the Saccharinae Griseb. subtribe of the Andropogoneae Dumort. tribe.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Phylogenetic analysis of organellar DNA sequences in the Andropogoneae: Saccharinae.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same journal

Genetic and therapeutic control of diabetogenic CD8+ T cells.

Novartis Foundation symposium·2009
Same journal

Translating mucosal antigen based prevention of autoimmune diabetes to human.

Novartis Foundation symposium·2009
Same journal

Re-establishing immune tolerance in type 1 diabetes via regulatory T cells.

Novartis Foundation symposium·2009
Same journal

Immune markers of disease and therapeutic intervention in type 1 diabetes.

Novartis Foundation symposium·2009
Same journal

Towards a curative therapy in type 1 diabetes: remission of autoimmunity, maintenance and augmentation of beta cell mass.

Novartis Foundation symposium·2009
Same journal

CD8 and cytotoxic T cells in type 1 diabetes.

Novartis Foundation symposium·2009
See all related articles

The new biology requires extensive data integration for rice research. Concerted bioinformatics efforts are crucial for accessing and analyzing vast genomic and germplasm data to support rice breeders and researchers globally.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • The 'new biology' is characterized by its information-intensive nature, requiring significant data integration across diverse sources.
  • Rice research faces challenges in accessing and meaningfully utilizing vast, complex datasets from various sources, including ongoing international genome sequencing efforts.

Purpose of the Study:

  • To outline the current state of rice information resources.
  • To identify the data needs of the rice research community.
  • To propose bioinformatics activities to support these needs.

Main Methods:

  • Focus on developing a robust bioinformatics infrastructure, encompassing hardware, software, and personnel.
  • Emphasize computational biology research for visualizing and analyzing large, complex datasets from high-throughput technologies.

Related Experiment Videos

  • Integrate international rice genome sequencing data with unique CGIAR germplasm data.

    • Main Results:

    • The study highlights the critical need for enhanced bioinformatics infrastructure and computational biology research.
    • Effective data integration is essential to harness the potential of massive datasets generated by rice genome sequencing.
    • Proposed activities aim to bridge the gap between data availability and the needs of rice researchers and breeders.

    Conclusions:

    • Concerted bioinformatics efforts are imperative to unlock the potential of public rice data for global research and breeding.
    • Developing specialized infrastructure and advanced analytical methods is key to managing and interpreting large-scale biological data.
    • Integrating diverse data types, including germplasm information, is vital for comprehensive rice research.